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Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
Jack Fiedler, the vice president for digital transformation of the global supplychain at Lenovo Lenovo is ranked tenth by one leading analyst firm among a list of global companies with exceptional supplychains. Jack Fiedler : We’re unique in the technology industry. That has worked out well for us.
Five years ago, we all thought the COVID-19 pandemic resulted in the most disrupted supplychain landscape we would ever see. Since then, supplychain disruptions and volatility have only increased. With the global e-commerce market predicted to reach $8.1 We were wrong. billion to $23.07
The industrial sectorparticularly supplychain management, is facing unprecedented complexity. Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Typically, these systems consist of standard-task agents (e.g.,
Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
The logistics and supplychain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Reducing dependency on fossil fuels can mitigate these risks and improve operational predictability.
Supplychain disruptions have become a persistent operational risk. Traditional supplychain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Amazon is a leader in AI-driven supplychain management.
When one thinks of supplychainsoftware vendors, the name InterSystems may not spring to mind. A supplychain data fabric can help companies augment their supplychain processes. They aim to achieve the same success in supplychain management that they have achieved in the healthcare sector.
Source: mainebiz.biz In today’s rapidly evolving logistics and supplychain sector, warehouses are increasingly turning to innovative technologies to gain a competitive edge. Overview of Warehouse Robotics Warehouse robotics represent a revolutionary advancement in the logistics and supplychain sector.
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At ToolsGroup, we’ve long championed probabilistic demand forecasting (also known as stochastic forecasting) as the cornerstone of effective supplychain management software. In conventional supplychain planning , planners using basic tools (typically spreadsheets or legacy systems) forecast just one number for each item.
In today’s interconnected global economy, sustainability within supplychains and logistics has become a necessity rather than an option. For senior leaders, understanding and integrating the three pillars of sustainability—environmental, social, and economic—into supplychain strategies is essential.
Safety Stock: Navigating SupplyChain Volatility Through Strategic Inventory Planning Demand volatility represents a critical challenge for supplychain executives today, with safety stock emerging as a key strategic tool to mitigate market uncertainties.
Trade policies are constantly evolving, forcing companies to assess how these changes impact customer demand, supply networks, fulfillment strategies, and cost to serve. Supplychains need to be more agile than ever, yet much of the advice circulating in the industry remains high-level or less than ideal.
Global supplychains have been tested repeatedly by a series of disruptive events, including the COVID-19 pandemic, U.S.-China Companies that previously prioritized cost-cutting and centralized sourcing quickly found themselves exposed to serious production and distribution risks. China trade disputes, and natural disasters.
Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supplychain management. This is particularly critical in supplychain environments where aligning data across siloed departments is essential.
The global supplychain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Developing Analytical Skills Data analysis is at the heart of effective supplychain management.
Gartner predicts that by 2026, 95% of data-driven decisions will be at least partially automated. In fact, Gartner also found that only 10% of CEOs say their business uses AI strategically, and just 9% of technology leaders report having a clearly defined AI vision statement. The secret?
Ted Krantz, CEO of Interos Interos , a company providing supplychain resilience and risk management software, emailed me to say that there was a supplychain risk everyone seemed to be ignoring – AI-related risks. These platforms need high-fidelity signals that can be trusted. This is endless.
As I was enjoying the holidays, I had an opportunity to reflect on the year past and what the future holds for supplychains. However, organizations will need to be deliberate in designing supplychains with optionality so it does not become cost prohibitive. SupplyChain Design is essential in tackling these.
When my fiance heard about the price, he advised that I find a local hairdresser and set up a frequent-shopper account with them for a few months until the tool is back in stock. When the pandemic started in 2020, no one could foresee the impacts of the global supplychain disturbances would last this long.
Technology can have a significant impact on supplychains, but supplychain digitization still lags behind digitization of other areas of business across many industries. Still, there are several technologies that are transforming supplychains for the organizations that adopt them.
Manufacturing ERP (Enterprise Resource Planning) software integrates all your core business processes into one powerful platform. Think of it as the central nervous system of your operation, connecting everything from production planning and inventory control to supplychain management and financial reporting.
Over the past few years, supplychain and procurement pros have faced the challenge of navigating their enterprises through one disruption after another. Despite their best efforts, current events and market dynamics caught up with them, leading to issues managing their suppliers and sourcing the materials needed for their products.
As a supplychain executive, picture beginning your day with a cup of coffee when a news alert notifies you of newly imposed tariffs affecting your primary suppliers in China. Companies leaning heavily on global sourcing? Theyre feeling the heat most, as sudden trade policy curveballs throw procurement plans into chaos.
For the past few years, the news has been filled with stories about supplychain disruptions, supplychain fragility, and the need for supplychain resilience. A term once prominent in supply discussions optimization isn’t heard quite as often as it used to be.
Note: Today’s post is part of our “Editor’s Choice” series where we highlight recent posts published by our sponsors that provide supplychain insights and advice. Effective supplychain planning is crucial for maintaining competitiveness and ensuring customer satisfaction in today’s fast-paced business environment.
During his tenure in the industry, he built innovative pricing and forecasting models, leveraging internal and external data sources to improve internal decision-making and increase profitability. Prior to joining DAT, Adamo led the pricing and decision science teams at FedEx.
Making predictions has become significantly more challenging after the last 18 months. Recent cumulative events have increased the emphasis on the supplychain, emphasizing its importance and bringing it to the fore. As was quoted, “no one mentions the supplychain when it works, but when it fails….”
These passports document all aspects of the life cycle – from the sourcing of raw materials to final disposal or recycling. For businesses, DPPs are becoming essential to comply with best practice guidance as well as coming statutory regulations that demand transparency in supplychains.
Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Strategic Sourcing: The Foundation of Effective Procurement Strategic sourcing is far more than simply choosing suppliers. Click here!
In the corridors of Unilever, a team of dedicated supplychain planners from demand to supply to transportation embarks on a daily journey. End-to-End SupplyChain Planning Platform The end-to-end process begins with data.
What is Demand Forecasting in SupplyChain Management? Demand forecasting in supplychain management is the process of predicting customer demand, supply trends, and pricing fluctuations. To help you stay ahead, here are four strategies that supplychains leaders are using to win at demand forecasting.
Supplychain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. Healthcare providers are leveraging efficient supplychains to ensure critical supplies reach patients when needed most.
I recently read a thought-provoking report with several predictions about the future of supplychaintechnology. How can it be that so many companies will continue to invest so much in state-of-the art technologies, and yet fewer than one in 20 control tower deployments are expected to deliver on their potential?
Autonomous SupplyChains In this competitive environment, a CPG manufacturer needs to fight to get space on retailer shelves in each region, keep those shelves stocked, compete and collaborate simultaneously with e-commerce, and maintain its operating margins. each with discrete plans generated typically in sequential batch runs.
Consequently, everyone asserts they are utilizing AI, and those in the supplychain world are no exception. How will it address “the world hunger problem” in supplychains, particularly in the context of supplychain planning? How can AI contribute to end-to-end decision automation?
A SupplyChain Design Solution from Coupa Imagine you’ve just received the job offer of your dreams. If you have been through this process at least once, you already have a good idea of what supplychain design is about: optimization. Do we have a demand forecasting tool in place and, if so, how good is that forecast?
Over the year, COVID-19 introduced even greater complexity into the already difficult work of supplychain planning–and changed supplychain from a practitioner-focused topic to everyday dinner table conversation. Digital supplychain transformation will accelerate.
Supplychains are the backbone of global trade that ensure the smooth movement of goods and materials across industries. One of the most effective strategies for building resilience is integrating project management into supplychain operations. A well-managed supplychain does not just survive crises it thrives in them.
Ever feel like your supplychain is a tangled mess of spreadsheets, frantic phone calls, and last-minute scrambles? It’s the key to transforming your supplychain from a source of frustration into a well-oiled, profit-generating machine. You’re not alone. That’s where data analytics comes in.
MODEX is the leading trade show for supplychain, logistics, and material handling solutions in North America. It showcases the latest products, technologies, and services from over 900 exhibitors across various sectors and industries.
Theyve provided a virtual mirror to physical assets, processes, or systems and [enabled] unprecedented levels of analysis, monitoring, and prediction.”[1] Gartner predicts, “The digital twin market will cross the chasm in 2026 to reach $183 billion in revenue by 2031.” Myth 4: Digital twins are expensive.
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